Client Facing Data Scientist
Location: US, , 
Employment type: Full-time
Required experience: Mid-Senior level
Industry: Computer Software

Company profile:
Our MissionWe are revolutionizing how the world's data is stored, computed, and visualized. We provide domain experts with flexible tools that allow them to explore their data and maximize the impact of their insights. We help empower work-groups and businesses by recognizing that data analysis is a collaborative, exploratory activity.Our VisionWe provide open technologies for Data Integration on a massive scale, based on our vision of a structured, universal "data web". In the same way that URL, HTML, and HTTP form the basis of the World Wide Web for documents, our technologies are becomming the fabric for structured and numerical data and are spearheading innovations in data management, analytics, and distributed computation.Our Areas of FocusOur company provides software tools, training, and integration/consulting services to corporate, government, and educational clients worldwide. Areas of expertise include finance, statistical inference, geophysics, business and marketing analytics, and the growing category of data science.Our BackgroundHeadquartered in Austin, Texas with offices in New York City, Castelló, Spain and Vancouver, British Columbia, our lead developers hold advanced degrees in a variety of fields and have decades of combined development experience solving complex, real-world problems. We have focused on large-scale distributed computing, array-oriented programming frameworks, scientific computing and algorithm development, and graphics and interactive data visualization. Learn more about our development team.Our Commitment to Open SourceOur developers are key figures behind NumPy, SciPy, PyTables, SymPy, and Chaco. We are also driving the development around forward-facing open-source projects such as Conda, Numba, Bokeh, Blaze, and the growing PyData ecosystem. We seek to employ as many open-source developers as we can while still providing valuable services and technology products to the market. Read more about our views on Open Source

Job description:
We are looking for strong quantitative scientists familiar with both manipulating data using Python and R as well as applying probabalistic models to inference problems.    The ideal candidate will 5+ years of experience solving data-science or other similar engineering problems and have strong familiarity with NumPy, SciPy, Pandas, IPython, Matplotlib, and other tools in the NumPy Stack.Telecommuting is a possibility for the self-driven candidate with a track-record of successful telecommuting engagements.   You will need to interact directly with clients to help them apply Continuum and other open source tools to their problems and be agile enough to work with a group of like-minded motivated developers and scientists.While each project will engage a single client.  The successful candidate will have a chance to work on a variety of projects during their tenure --- from weather and finance to marketing and engineering. 

Requirements:
5+ years experience with Python, NumPy2+ years experience with Pandas / R2+ years with SQL and Database technologyMasters degree in engineering, physics, statistics, or equivalentExcellent communication skillsWillingness to learn new tools

Benefits:
Continuum Analytics is an emerging startup that provides excellent benefits including full dental and medical benefits.   You get to work on interesting and impactful projects at Continuum that will improve your marketability and give you exposure to clients, ideas, and opportunities that will enhance your career.